Linear Algebra I (MATH 369): 13649 (also: 26435)
Course Info
 Meeting time: MWF 8:00am – 8:50am in Weber 202.
 Instructor: Dr. Harrison Chapman (hchaps [at] gmail.com)
 Office: Weber 223C.
 Office hours in Weber 130:
 Tuesdays 11am – 12pm,
 Wednesdays 10am – 12pm,
 and by appointment.
 Text: Not required. Elementary Linear Algebra by Howard Anton (any recentish edition should be fine) potentially available online here.
Resources

The textbook is potentially available online here.

Grades and can be found Canvas.

Homework assignments will be available at this website.

There are some opportunities for tutoring from TILT.

There is a list of private tutors maintained by the math department.

You can use LaTeX to write your homework without installing anything with a free account at ShareLaTeX.

An example LaTeX homework assignment with some notes can be found here.

You can use Sage (math software) for free online at CoCalc.

Our class Sage demonstrations can be found here.
Software for Linear Algebra
For exams we won’t be able to use any calculators or computers, but for your study (and whenever you use linear algebra!) the following tools can work linear algebra calculations for you. There is no requirement for the course that you use any of these, but you might find them helpful.

We’ll be using SageMath for some in class demonstrations. It’s free, but big (5GB?) and you can just use it online at CoCalc.

You can use Python with Numpy/Scipy for most things, too.

The Engineering department is likely to use MATLAB a lot. CSU has a universitywide license and you can download MATLAB here. You also might be able to find it in their computer labs. GNU Octave is free and similar, but not perfect.

Mathematica is an expensive tool that can do linear algebra. WolframAlpha can do a lot of oneoff calculations for you, and is free and online.

Maple and MAGMA are other tools that might be able to do linear algebra, but I’ve never used them.
Homework
 Homework 1 (PDF version), due Friday, January 26, 2018. Solutions available.
 Homework 2 (PDF version), due Friday, February 2, 2018. Solutions available.
 Homework 3 (PDF version), due Friday, February 9, 2018. Solutions available.
 Homework 4 (PDF version), due Friday, February 23, 2018. Solutions available.
 Homework 5 (PDF version), due Friday, March 2, 2018. Solutions available.
 Homework 6 (PDF version), due Friday, March 9, 2018. Solutions available.
 Homework 7 (PDF version), due Friday, April 6, 2018. Solutions available.
 Homework 8 (PDF version), due Friday, April 13, 2018. Solutions available.
 Homework 9 (PDF version), due Friday, April 20, 2018. Solutions available.
Exam topics
Syllabus
Course Overview
Linear algebra is one of the most ubiquitous and important topics in mathematics. Furthermore, it is the basis for numerous applications in engineering, scientific computing, artificial intelligence, computer graphics, statistical models, and more.
This course provides an introduction to the ideas and methods of linear algebra, which you will learn by understanding them geometrically, justifying them algebraically, and using them to solve problems in various disciplines. In addition, the course serves as an introduction to abstract reasoning and mathematical proof. It is a prerequisite for all advanced courses in mathematics and provides excellent preparation for graduate work in the natural sciences and quantitative social sciences.
Homework
We will have weekly homework assignments, posted to the class website and due on Fridays.
Homework is an essential part of any math class, as you learn far more from doing mathematics. The goal of homework assignments is to reinforce and deepen your understanding of the topics we cover during class, as well as to give you the opportunity to learn and practice your mathematical communication skills and thinking. This means that homework will be graded primarily on clarity and exposition of your procedure, and not just on obtaining the correct answer (i.e. show and explain your work!).
Homework must be stapled and your name must be written at the top. You should turn homework which is neat, legible, and organized, as I have to be able to read your homework to grade it! If you are planning to take more higher level mathematics courses, you might want to try taking time this semester to learn to typeset your math work on a computer. Talk to me if you would like advice on this!
I cannot accept late homework, so turn in whatever you have on the due date.
I strongly encourage that you work together with your classmates on homework assignments (both sections will have the same assignments). Collaboration on homework means you will finish homework faster and practice math communication skills! However you must turn in your own final writeup and not that of your peers. This is important, and copying anyone else’s work verbatim is a violation of the academic honor code and will be treated as such.
Exams
We will have three inclass midterm exams, tentatively scheduled for the second week of February, the second week of March, and the third week of April. Our final exam will take place in our normal meeting place and is scheduled for: Thursday, May 10th from 4:10pm – 6:10pm.
There are no makeup exams for this course. If you must be absent from a scheduled exam and your absence is excused with supporting documentation (e.g. from a legal or medical professional), the portion of your course grade determined by the missing exam will be divided equally between the other exams and the final. Please let me know about any test date conflicts as they arise.
Grading
Your final grade in the course will be determined by the following breakdown:
 Homework and Class Participation: 25%
 3 Midterm Exams: 15% Each
 Final Exam: 30%
Finally, your final percentage grade will be scaled according to:
This means that while homework points will improve your score, missed points on homework cannot affect your grade negatively.
Attendance
You are expected to attend and participate in every class and to do the weekly homework.
Academic Integrity
As a Colorado State University student, you have agreed to abide by the University Policy on Academic Integrity (see University Policies → Students’ Responsibilities → Academic Integrity/Misconduct in the General Catalog) and by the Student Conduct Code. Please see http://tilt.colostate.edu/integrity/ for more on academic integrity at CSU. All academic work must meet the standards described in the Academic Integrity Policy. At a minimum, violations will result in a grading penalty in this course and a report to the Office of Conflict Resolution and Student Conduct Services.
Lack of knowledge of the academic honesty policy is not a viable explanation for a violation. Questions related to coursework and the academic honesty policy should be discussed with the instructor.
You are encouraged to discuss homework problems with your classmates, but the work you turn in must be your own, and in particular you should write up your final solutions independently. Remember that for all work in this course, the CSU honor pledge applies: “I have not given, received, or used any unauthorized assistance.”
Additional Help
If you ever find yourself confused in this class, that’s okay! There are a number of different resources that I encourage you to explore:

I am happy to discuss anything during office hours.

Your fellow classmates are a great resource. You are encouraged not just to work together on homework but also to ask each other general questions and study together.

There will be opportunities for tutoring from TILT.

There are lists of tutors maintained at the math department website and the Colorado State University tutoring webpage.
Accommodations
If you think you may need accommodations in this course due to the impact of a disability please meet with me privately during the first week of class. You should also contact the Resources for Disabled Students office to confirm your eligibility for appropriate accommodations. Doing so early in the semester will help prevent unnecessary inconvenience.
Disclaimer
The course syllabus is a general plan for the course; deviations announced in class may be necessary.